A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems

Perera, A.T.D.; Attalage, RA; Perera, K.K.C.K.; Dassanayake, Vpc

doi:10.1016/j.apenergy.2013.02.049

Cited by 185 publications

(75 citation statements)

References 59 publications

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“…Other research works are focused on implementing optimization algorithms to define the convenient HRES configuration when various objective functions are considered, such as levelized energy cost, unmet demand ratio or fuel consumption [8,9,10]. They are based on multi-objective and multi-criteria optimization approach, such as Pareto analysis and weighed sum or probabilistic, iterative and heuristic methods [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization of a hybrid renewable system for high feasibility application in non-connected zones

et al. 2015

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Section: Introductionmentioning

confidence: 99%

Optimization of a hybrid renewable system for high feasibility application in non-connected zones

et al. 2015

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“…Recent studies highlight that distributed generation using solar PV (SPV) and 35 wind energy is promising to foster the renewable energy penetration in the market [3], [4]. 36 Energy systems fully driven using renewable energy sources is a dream that wider community of researchers try to 37 make a reality [5]- [9]. Replacing dispatchable energy sources driven by fossil fuel through distributed SPV, wind 38 and biomass/bio energy sources is the major challenge in this context.…”

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confidence: 99%

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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9A paradigm change in energy system design tools, energy market, and energy policy is required to attain the target 10 levels in renewable energy integration and in minimizing pollutant emissions in power generation. Integrating non-11 dispatchable renewable energy sources such as solar and wind energy is vital in this context. Distributed generation 12 has been identified as a promising method to integrate Solar PV (SPV) and wind energy into grid in recent literature. 13Distributed generation using grid-tied electrical hubs, which consist of Internal Combustion Generator (ICG), non-14 dispatchable energy sources (i.e., wind turbines and SPV panels) and energy storage for providing the electricity 15 demand in Sri Lanka is considered in this study. A novel dispatch strategy is introduced to address the limitations in 16 the existing methods in optimizing grid-integrated electrical hubs considering real time pricing of the electricity grid 17 and curtailments in grid integration. Multi-objective optimization is conducted for the system design considering 18 grid integration level and Levelized Energy Cost (LEC) as objective functions to evaluate the potential of electrical 19 hubs to integrate SPV and wind energy. The sensitivity of grid curtailments, energy market, price of wind turbines 20 and SPV panels on Pareto front is evaluated subsequently. Results from the Pareto analysis demonstrate the potential 21 of electrical hubs to cover more than 60% of the annual electricity demand from SPV and wind energy considering 22 stringent grid curtailments. Such a share from SPV and wind energy is quite significant when compared to direct 23 grid integration of non-dispatchable renewable energy technologies. 24

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“…Recently multi-objective optimizations and multi-criteria decision making have been increasingly employed in order to embrace also environmental and social parameters in the planning and/or feasibility analyses (e.g. [18]- [21]); • concerning power stability analyses ( [22]- [25]), the main objective is to address the study of power system stability employing electrical quantities (e.g. current and voltage) and verifying the proper functioning of each single component and the interactions among them.…”

Section: B School Loads and Consumptionmentioning

confidence: 99%

Electro-mechanical model for understanding the operation and dynamic behavior of a micro-grid: A case study in Tanzania

Mandelli

Merlo

Tedeschi

et al. 2015

2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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Abstract-This paper introduces the project Energy4Growing which aims to set up a hybrid micro-grid to supply power to a school in rural Tanzania. It describes the results of the early project actions which concerned: (i) monitoring of the actual school power supply system; (ii) first step development of a new model which addresses the simulation of the electro-mechanical operation and dynamic behavior within an off-grid power supply system with respect to perturbation in the power injections and consumptions. In particular it focuses on the new model which has the capability to address: (i) V and F trends analysis over medium term period by means of simplified electrical models of power sources and power electronics, (ii) the analysis of different control strategies and their consequence on V and f trends, (iii) the effects of control strategies on the energy performances of particular components such as battery pack or dump loads. This new approach is also applied by modelling the actual school power supply system with MATLAB SimPowerSystem.

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A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems

Cited by 185 publications

References 59 publications

Optimization of a hybrid renewable system for high feasibility application in non-connected zones

Optimization of a hybrid renewable system for high feasibility application in non-connected zones

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

Electro-mechanical model for understanding the operation and dynamic behavior of a micro-grid: A case study in Tanzania

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